Evidence map›Paper›PMID 31738224›Full record

ArticleThe Journal of nervous and mental disease2020

Maternal Bonding Predicts Actigraphy-Measured Sleep Parameters in Depressed and Nondepressed Adults.

Darlynn M Rojo-Wissar, John R McQuaid, Sonia Ancoli-Israel, Devan N Gengler, Patricia L Haynes

Abstract read
In one paragraph

Article in The Journal of nervous and mental disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Wearable devices for anxiety & depression: A scoping review.Computer methods and programs in biomedicine update · 2023
    Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Darlynn M Rojo-Wissar
John R McQuaid
Sonia Ancoli-IsraelDepartment of Psychiatry, University of California San Diego School of Medicine, La Jolla, California.
Devan N GenglerDepartment of Health Promotion Sciences, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona.
Patricia L HaynesDepartment of Health Promotion Sciences, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona.

Funding

PSYCHIATRIC EPIDEMIOLOGY TRAINING PROGRAMT32MH014592 · NIMH · JOHNS HOPKINS UNIVERSITY · PI HEATHER E VOLK, Peter P. Zandi · 1985 to 2026
$8.5M
Circadian Impact of Psychosocial Factors in DepressionF31MH064255 · NIMH · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI HAYNES, PATRICIA L · 2002 to 2002
$25k
NIMH NIH HHS F31 MH064255NIMH NIH HHS T32 MH014592
6 · The paper itself

Abstract

Associations between subjective maternal bonding recalled from the first 16 years of life and current sleep indices were investigated in a clinical sample of 34 adults with major depressive disorder and 36 normal controls (n = 70) using the self-report parental bonding instrument and wrist actigraphy. Results of multiple linear regression analyses indicated that reports of maternal bonding indices were associated with several sleep indices in adulthood independent of depression status. Higher levels of maternal care were associated with greater time in bed and total sleep time. Higher levels of maternal overprotection were associated with fewer awakenings. Findings indicate that reported maternal bonding characteristics in childhood are related to objectively measured sleep characteristics in adulthood, independent of mood state.

Indexed as

Object AttachmentSleepActigraphyAdultCase-Control StudiesFemaleHumansMajor Depressive DisorderMaleMiddle AgedMother-Child RelationsSleep Wake DisordersSurveys and QuestionnairesYoung Adult

Identifiers

PMID31738224
PMCPMC7282245

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.